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To improve the tracking robustness in fuzziness when the underwater targets are overlapped in forward-looking sonar images, a contour tracking method that use Local Binary Fitting (LBF) to constrain the evolution of particle filter is discussed for underwater targets tracking in this paper. A space prior is generated from underwater target contour information which is used to restrict the boundary...
For time division duplex systems with increased bandwidth in 5G, the concept of self-contained transmission has been proposed. Aiming at reduced latency and more flexible resource allocation, this concept involves frequent uplink and downlink switching and relatively short transmission in both directions. In this work, we consider single OFDM symbol transmission within self-contained transmission...
Matched-field processing (MFP) is an underwater acoustic signal processing method for passive source localization. It works by matching the measured field with the full-field solution for sound wave propagation in an oceanic waveguide. The popular Minimum Variance Distortionless Response (MV-DR) algorithm is known to be highly sensitive to environmental mismatch, which is one of the main obstacles...
Model-based passive source localization is known to be quite sensitive to model mismatch. In this paper, we present a new implementation based on matched-mode processing. Specifically we formulate mode filtering as a convex optimization problem, and ℓ1-regularized least squares is applied, which is robust in terms of the numerical implementation. Simulations with respective full-depth and partially-spanned...
Traditional matched-field processing (MFP) techniques for underwater source localization such as Bartlett and Minimum variance Distortionless Response (MVDR) suffer from low resolution and sensitivity to environment/system mismatch respectively. This paper considers the problem of underwater source location estimation using a combination of sparsity imposed reconstruction method with newly proposed...
Matched-field processing (MFP) for source localization usually experiences shortcomings such as low resolution and high computational workload. In this paper, a high resolution matched-field source localization method based on sparse reconstruction algorithms is presented. The underwater source localization problem is represented by solving an underdetermined linear equation. By enforcing the spatial...
Synthetic aperture sonar (SAS) is an emerging technology for seafloor imaging, which has an appealing property of range- and frequency-independent spatial processing resolution. However, for a low-frequency SAS system operated in shallow water environments, there are often strong sea surface and bottom reflected multipath components that interfere with the desired echo signals. Previously a steered...
Matched field processing (MFP) is an important technique for source localization in shallow water waveguides. To obtain high resolution, some adaptive methods are frequently used, for example, the minimum variance distortionless response (MVDR) MFP. It is well-known that MVDR is quite sensitive to model mismatch, which can hardly be avoided in practical applications. In this paper a robust MVDR method,...
An effective watermarking algorithm using Zernike moments and image normalization is proposed to resist object manipulations. Rotation invariance is achieved by taking the magnitude of the Zernike moments. Image normalization method is used for scale and translation invariance. Watermark signal can be inserted into the Zernike moments of cover image, but the reconstruction procedure is computationally...
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